Oluwaremilekun S.

Key Skills

Software

Other

Top Subject Matter

AI model training datasets (multimodal annotations)

Speech/text generation support for AI training

Text classification for AI training

Top Data Types

Text

Document

Image

Audio

Video

Top Task Types

Bounding Box

Text Generation

Question Answering

Text Summarization

Evaluation/Rating

Data Collection

Transcription

Classification

Segmentation

Freelancer Overview

Data Annotator (OUTLIER, CROWDGEN, ONE-FORMA) — Occasional AI training platform work. Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Level 4 Data Analyst Apprenticeship (RQF), Wolex Polytechnic and National Diploma (OND) in Computer Science, Wolex Polytechnic. AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Data Annotator (OUTLIER, CROWDGEN, ONE-FORMA) — Occasional computer vision boundary annotations

OtherVideoSegmentation

Created bounding box and segmentation-style annotations to identify objects within visual data for computer vision models. Drew boundaries around objects according to annotation standards to support accurate model learning. Participated in quality-focused workflows by ensuring annotations aligned with the guidelines. • Produced bounding box/segmentation annotations for visual inputs • Drew object boundaries for computer vision model training • Followed annotation guidelines to ensure consistency • Supported quality by validating unclear samples when needed

Present

Data Annotator (OUTLIER, CROWDGEN, ONE-FORMA) — Occasional classification labeling tasks

OtherTextClassification

Performed classification labeling to categorize data into predefined groups for AI model training. Used consistent categorization rules to reduce label noise and improve dataset usefulness. Escalated uncertain or ambiguous samples for additional review. • Labeled text inputs into predefined categories • Applied classification rules for consistent labeling • Flagged ambiguous or edge-case data for review • Maintained dataset accuracy through guideline compliance

Present

Data Annotator (OUTLIER, CROWDGEN, ONE-FORMA) — Occasional transcription labeling tasks

OtherAudioTranscription

Contributed to AI training by transcribing audio or video content into accurate written text. Ensured transcripts met annotation standards and supported downstream model training objectives. Applied consistent rules as required by the provided guidelines. • Transcribed audio/video into written text • Ensured transcription accuracy per task requirements • Applied consistent labeling rules for uniform outputs • Supported dataset quality through guideline adherence

Present

Data Annotator (OUTLIER, CROWDGEN, ONE-FORMA) — Occasional AI training platform work

OtherImage

Served as a Data Annotator on AI training platforms, focusing on creating labeled datasets that enable models to learn patterns. Performed multiple labeling modalities including tagging and labeling for computer vision tasks and reviewed outputs to ensure dataset reliability. Followed task-specific guidelines and escalated ambiguous examples to maintain consistency across large volumes. • Tagged images to support pattern recognition learning • Performed quality review by checking and correcting other annotators’ work • Followed annotation guidelines for uniform labeling across datasets • Flagged ambiguous or edge-case data for review

Present

Education

Work History